hgh

I think it's just a different focus on what matters.

There's clearly enormous (human) work that goes in to building and tuning their models.

The software they develop around their model is, relatively, trivial. It's not clear that enormous amounts of (human) energy need to go in to that code.

It seems largely a function of applying human energy towards the things that are marginally most important to generating you money and putting you in front of competitors.

Biden administration specifies new cybersecurity requirements for federal software providers

Perhaps? But a confounder is the strengthening or weakening of social ties. It's not clear that what seems to increasing loneliness is doing well by this next generation.

Connecting your comment to another about commercial model, seems the potential win here is selling useful tools to radiologists that may leverage AI rather than to end customers with the idea to replace some radiology consultations.

This seems generally aligned with AI realities today: it won't necessarily replace whole job functions but it can increase productivity when applied thoughtfully.

The mechanism that can shift supply to less polluting sources of electricity and shape demand for computation/electricity is pricing.

Measurement, pricing and reducing pollution externalities is a major challenge, but I don't think that's as unknown of a problem as the article seems to suggest.

Timely but I dare ask: I need to rework my thinkpad, still in good shape but with an older ubuntu distro. Reasonably fluent linux user but not expert, primarily dev workflows - what's the recommendation?

Start with goals. “With all this stuff I hope…” or think what you hope to be true in three years. Work back from that. The default (which is great if you like) is I’d like to spend a lot of time shuffling digital resources.

One nice improvement is applying a constraint. Bard will now give a valid answer for "give a swim workout for 3000m" that correctly totals 3k, while chatgpt does not.

AWS gets many things more right, but I think GCP wins on how they handle Projects and Managed Instance Groups for auto-scaling.

>> That whereof we cannot speak, thereof we must remain silent

The debate intensity seems inversely correlated to the precision of the terms. Scrolling through the thread and the related articles, I don't see any clear (and ideally falsifiable) definition of sentience. It's a general concept, but it's not worth haggling about.